Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Laube, Pascal

ISBN 10: 3658290161 / ISBN 13: 9783658290160

Editore: Vieweg + Teubner Verlag, 2020

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160 pages. 8.25x5.75x0.50 inches. In Stock. This item is printed on demand.

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Dati bibliografici

• Titolo: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
• Editore: Vieweg + Teubner Verlag
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3658290161
• ISBN 13: 9783658290160
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 0,22 chilogrammi

Descrizione articolo

Riassunto

Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.

Informazioni sull?autore

Pascal Laube s main research interest is the development of machine learning methods for CAD reverse engineering. He is currently developing self-driving cars for an international operating German enterprise in the field of mobility, automotive and industrial technology.